Thin-Bed Reservoir Analysis From Borehole Electrical Images

Trouiller, J-C.; Delhomme, J.P.; Carlin, S.; Anxionnaz, H.

doi:10.2523/19578-ms

Cited by 5 publications

(7 citation statements)

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“…Hansen & Parkinson (1999) report a depth of investigation of 5-7 cm in a study comparing images from microresistivity and ultrasonic devices. Trouiller et al (1989) mention that in thick homogeneous or finely laminated beds, the depth of investigation of a button is similar to that of a shallow laterolog, which is roughly 25 cm. This comment has caused some confusion in the past.…”

Section: B U T T O N Sensor R E S P O N S Ementioning

confidence: 95%

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Microresistivity and ultrasonic imagers: tool operations and processing principles with reference to commonly encountered image artefacts

Cheung

1999

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Section: B U T T O N Sensor R E S P O N S Ementioning

confidence: 95%

“…the object is 'seen' by more buttons than it should), while resistive ones appear smaller. Similarly, conductive beds will appear thicker while resistive ones appear thinner (Trouiller et al 1989). These distortions are proportional to the conductivity contrast across the object boundary.…”

Section: Signal Strength (Applied Voltage and Gain)mentioning

confidence: 99%

Microresistivity and ultrasonic imagers: tool operations and processing principles with reference to commonly encountered image artefacts

Cheung

1999

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“…As a general case, when high resistivity (tuff in this well) beds are set in lower resistivity shales, there is a tendency for the images to distort their thickness because of unequal current distributions (Cheung 1999). Beds below 1.0cm thickness will generally be affected, beds above 6.0 cm show true thickness (Trouiller et al 1989). …”

Section: Balder Formationmentioning

confidence: 97%

“…This aspect, the use of images for lithological interpretation in turbidite successions, is important because the images have a very high vertical (and horizontal) sampling rate (2.5mm) giving them a much improved definition of bed boundaries and identification of thin beds (Trouiller et al 1989). The log can therefore be used to derive a significantly improved net-togross ratio (Sullivan & Schepel 1995).…”

Section: Net-to-gross Ratiomentioning

confidence: 98%

A pre-development turbidite reservoir evaluation using FMS electrical images

Rider¹,

Goodall²,

Dodson

1999

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FMS (Formation MicroScanner) electrical images in a single well from a familiar, deep marine North Sea Palaeogene section are illustrated. More than 900 m of good quality images were acquired through an interval from the Palaeocene Ekofisk Formation to the Eocene Grid Formation in a well from the centre of the South Viking Graben, Norwegian sector. The information that was obtained from these images is illustrated and discussed in terms of lithology, sedimentary structures, stratigraphy and petrophysics. The information on this deep marine, mainly gravity deposit succession, is considerably enhanced using image interpretation. Lithological information includes an improved net-to-gross ratio and an understanding of lithological heterogeneities. Sedimentary structure information includes the geometrical and lithological characterization of slumped intervals and a detailed description of evolving gravity deposit sequences. In terms of stratigraphy, illustrative images are shown of the Balder, Lista and Sele Formations. Some of the key surfaces of the Palaeogene interval, used for correlation and sequence stratigraphy, are shown in detail, especially the surface at the base of the Balder Formation and the boundary between the Lista and Sele Formations. The effect of hydrocarbons on the images is illustrated and used qualitatively in petrophysical terms to define the hydrocarbon-water contact.

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“…Very high-sample-density arrays are used in the oriented log tools to yield high-resolution information about micro-resistivity variations along the borehole wall. Visual intuitive borehole electrical images could then be gained by image processing functions [6][7][8]. The images provide a wealth of geologic data previously obtainable only from real rocks, therefore enabling the well logging to identify the lithology and sedimentary structure comparatively with cores [9,10].…”

Section: Introductionmentioning

confidence: 99%

Utilizing borehole electrical images to interpret lithofacies of fan-delta: A case study of Lower Triassic Baikouquan Formation in Mahu Depression, Junggar Basin, China

Yuan¹,

Zhang²,

Tang³

et al. 2017

Open Geosciences

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Large-scale conglomerate fan-delta aprons were typical deposits on the slope of Mahu Depression during the Early Triassic. Without outcrops, it is difficult to study the lithofacies only by examining the limited cores from the main oil-bearing interval of the Baikouquan Formation. Borehole electrical imaging log provides abundant high-resolution geologic information that is obtainable only from real rocks previously. Referring to the lithology and sedimentary structure of cores, a case study of fan-deltas in the Lower Triassic Baikouquan Formation of the Mahu Depression presents a methodology for interpreting the complicated lithofacies utilizing borehole electrical images. Eleven types of lithologies and five types of sedimentary structures are summarized in borehole electrical images. The sediments are fining upward from gravel to silt and clay in the Baikouquan Formation. Fine-pebbles and granules are the main deposits in T 1 b 1 and T 1 b 2 , but sandstones, siltstones and mudstones are more developed in T 1 b 3 . The main sedimentary textures are massive bed- dings, cross beddings and scour-and-fill structures. Parallel and horizontal beddings are more developed in T 1 b 3 relatively. On integrated analysis of the lithology and sedimentary structure, eight lithofacies from electrical images, referred to as image lithofacies, is established for the fandeltas. Granules to coarse-pebbles within massive beddings, granules to coarse-pebbles within cross and parallel beddings, siltstones within horizontal and massive beddings are the most developed lithofacies respectively in T 1 b 1 , T 1 b 2 and T 1 b 3 . It indicates a gradual rise of the lake level of Mahu depression during the Early Triassic, with the fan-delta aprons retrograding towards to the margin of the basin. Therefore, the borehole electrical imaging log compensate for the limitation of cores of the Baikouquan Formation, providing an effective new approach to interpret the lithofacies of fan-delta.

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Thin-Bed Reservoir Analysis From Borehole Electrical Images

Cited by 5 publications

References 0 publications

Microresistivity and ultrasonic imagers: tool operations and processing principles with reference to commonly encountered image artefacts

Microresistivity and ultrasonic imagers: tool operations and processing principles with reference to commonly encountered image artefacts

A pre-development turbidite reservoir evaluation using FMS electrical images

Utilizing borehole electrical images to interpret lithofacies of fan-delta: A case study of Lower Triassic Baikouquan Formation in Mahu Depression, Junggar Basin, China

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